Non-parametric regression for space-time forecasting under missing data.
James HaworthTao ChengPublished in: Comput. Environ. Urban Syst. (2012)
Keyphrases
- space time
- missing data
- gaussian processes
- missing values
- spatio temporal
- regression model
- video sequences
- incomplete data
- low rank
- dynamic scenes
- structure from motion
- multiple imputation
- human actions
- matrix factorization
- motion segmentation
- model selection
- support vector
- gaussian process
- dirichlet process mixture models
- missing information
- neural network
- data imputation
- scan statistic
- computer vision